Robust segmentation for multiple planar surface extraction in laser scanning 3D point cloud data
This paper investigates the segmentation of multiple planar surfaces from 3D point clouds. A Principle Component Analysis (PCA) based covariance technique is used for segmentation which is one of the most popular approaches in point cloud processing. It is well known that PCA is very sensitive to ou...
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| Other Authors: | |
| Format: | Conference Paper |
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IEEE (Institute of Electrical and Electronics Engineers)
2012
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| Online Access: | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460394 http://hdl.handle.net/20.500.11937/39568 |
| _version_ | 1848755625728671744 |
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| author | Nurunnabi, Abdul Belton, David West, Geoff |
| author2 | - |
| author_facet | - Nurunnabi, Abdul Belton, David West, Geoff |
| author_sort | Nurunnabi, Abdul |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper investigates the segmentation of multiple planar surfaces from 3D point clouds. A Principle Component Analysis (PCA) based covariance technique is used for segmentation which is one of the most popular approaches in point cloud processing. It is well known that PCA is very sensitive to outliers and does not give reliable estimates for segmentation. We propose a statistically robust segmentation algorithm using a fast-minimum covariance determinant based robust PCA approach to get the local covariance statistics. This results in more reliable, robust and accurate segmentation. The application of the proposed method to simulated and terrestrial laser scanning point cloud datasets gives good results for multiple planar surface extraction and shows significantly better performance than PCA based methods. The algorithm has the potential for non-planar complex surface reconstruction. |
| first_indexed | 2025-11-14T08:59:17Z |
| format | Conference Paper |
| id | curtin-20.500.11937-39568 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:59:17Z |
| publishDate | 2012 |
| publisher | IEEE (Institute of Electrical and Electronics Engineers) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-395682017-01-30T14:35:09Z Robust segmentation for multiple planar surface extraction in laser scanning 3D point cloud data Nurunnabi, Abdul Belton, David West, Geoff - This paper investigates the segmentation of multiple planar surfaces from 3D point clouds. A Principle Component Analysis (PCA) based covariance technique is used for segmentation which is one of the most popular approaches in point cloud processing. It is well known that PCA is very sensitive to outliers and does not give reliable estimates for segmentation. We propose a statistically robust segmentation algorithm using a fast-minimum covariance determinant based robust PCA approach to get the local covariance statistics. This results in more reliable, robust and accurate segmentation. The application of the proposed method to simulated and terrestrial laser scanning point cloud datasets gives good results for multiple planar surface extraction and shows significantly better performance than PCA based methods. The algorithm has the potential for non-planar complex surface reconstruction. 2012 Conference Paper http://hdl.handle.net/20.500.11937/39568 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460394 IEEE (Institute of Electrical and Electronics Engineers) fulltext |
| spellingShingle | Nurunnabi, Abdul Belton, David West, Geoff Robust segmentation for multiple planar surface extraction in laser scanning 3D point cloud data |
| title | Robust segmentation for multiple planar surface extraction in laser scanning 3D point cloud data |
| title_full | Robust segmentation for multiple planar surface extraction in laser scanning 3D point cloud data |
| title_fullStr | Robust segmentation for multiple planar surface extraction in laser scanning 3D point cloud data |
| title_full_unstemmed | Robust segmentation for multiple planar surface extraction in laser scanning 3D point cloud data |
| title_short | Robust segmentation for multiple planar surface extraction in laser scanning 3D point cloud data |
| title_sort | robust segmentation for multiple planar surface extraction in laser scanning 3d point cloud data |
| url | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460394 http://hdl.handle.net/20.500.11937/39568 |